AI in drug development – Expanding the option space

In the expensive and failure-prone process of drug development,
artificial intelligence (AI) can serve both as an efficiency tool
and as a creativity tool. Increased efficiency means shorter
timelines, reduced investment, and earlier insights into success or
failure. This can lead to more opportunities to bring new drugs to
patients. Increased creativity means exploring new areas in drug
discovery and development, such as identifying new patterns in
targets, drug molecules, and patient populations that may be
unintelligible to the human eye. While we are witnessing the first
tangible milestones of AI in drug development, the hype in the
field can lead to inflated expectations of its benefits. To assess
the true potential of the technology, we must also recognize its
challenges, such as the algorithms' "black box" nature, their
propensity for hallucination, and data bias. Only by being
transparent about both the potential and the limitations of AI can
we increase the trust of drug developers—and most importantly, our
customers: patients. Listen to episode 27 of We’re Doomed, We’re
Saved to learn more about the potential of AI for pharma and
biotech. Content and Editing: Louise von Stechow and Andreas
Horchler Disclaimer: Louise von Stechow & Andreas Horchler and
their guests express their personal opinions, which are founded on
research on the respective topics, but do not claim to give
medical, investment or even life advice in the podcast. Learn more
about the future of biotech in our podcasts and keynotes. Contact
us here: scientific communication: https://science-tales.com/
Podcasts: https://www.podcon.de/ Keynotes:
https://www.zukunftsinstitut.de/louise-von-stechow Image:
ej-strat-VjWi56AWQ9k-unsplashvia Unsplash References: 1.
https://www.nature.com/articles/s41591-023-02361-0 2.
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https://www.nature.com/articles/d43747-024-00084-w 5.
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9. https://hbr.org/2024/05/ais-trust-problem